Duckbill

Software Engineer, Platform

San Francisco, CA

Sponsorship not specified$200k-$250kDetected 45 days ago

PythonReactFlaskCode ReviewAWSGCPAzureAirflowData EngineeringSalesPipeline ManagementNegotiationForecastingControlsResearch

About the role

With the explosive growth of AI, companies are signing the largest infrastructure agreements in history and doing it all with spreadsheets and fingers-in-the-wind.
Skyway provides structure and data to make the problem suck a whole lot less.
Skyway doesn't just ingest consumption data-we also enrich and transform it substantially.

Own the data infrastructure that powers everything.
Build and maintain both streaming and batch data processing that process hundreds of millions of rows of billing data per customer, whether the data is streamed via OTel, near-realtime API pulls, or batched S3 ingestion.
Build the contract application engine.
Design the data model for multi-provider support.
Optimize for performance at scale. Design storage patterns, partitioning strategies, and query approaches that serve sub-second performance alongside heavy analytical workloads.
You'll collaborate with backend engineers on data contracts and APIs, help the product team understand what's possible with the data, and be the person who can answer "why does this number look like that?" when something seems off.
Build bulletproof data validation.
That reach, plus the relationships we have inside the hyperscalers, AI labs, and neoclouds, means we aren't building a sales pipeline from scratch.

What matters more than any specific tool is that you have strong opinions about data systems and the experience to back them up.

Compensation for this role is a salary range of $200,000-$250,000 plus substantial early stage equity options.
Dependents are covered 50%.

4 weeks of PTO, plus unlimited sick leave.
As a result, our vision for Skyway isn't built on hypotheses: it's built on having directly worked these problems alongside the people who live with them every day.

You'll work on the logic that matches usage lines to contract terms, applies negotiated contract rates, and produces the financial outputs customers rely on.
Build bulletproof data validation. Design quality control systems that catch issues before they reach customers. Financial data demands precision and a data quality bug can represent a customer breach in trust, not just an annoyance.
People joining now are making foundational decisions that need to hold up to future growth in data and customers.
You're someone who builds data systems. You care about the people downstream of your work, whether they're backend engineers, product, or customers. When data looks weird, you dig until you understand why, not just patch it.
Design quality control systems that catch issues before they reach customers.
Customers seek us out for our contract negotiation expertise, process, and proprietary benchmark data, a motion that started with AWS and expanded to Azure, GCP, and now to inference and neocloud providers.

This listing is sourced directly from Duckbill's careers page and normalized into a canonical job model.